COVID-19 is an emerging respiratory disease caused by a novel coronavirus accompanied by a tsunami of misinformation and fake news. This can weaken the public health responses by affecting the COVID-19-related knowledge, attitudes, and practices (KAP) of the public. Therefore, this cross-sectional study was designed during the early stage of the pandemic to evaluate the KAP of Palestinian university students and their commonly used information sources. We found that the most trusted information source among students was the World Health Organization (WHO), followed by the Palestinian Ministry of Health (MoH) briefings and healthcare workers, whereas social media was the most frequently used source of information. The participants exhibited a high level of COVID-19-related knowledge, having an average score of 8.65 (range: 0-10). In total, 76% avoided going to crowded places, and only 33% wore a mask while being outdoors. The vast majority (93%) checked the accuracy of COVID-19-related information before publishing it, 56% used the WHO and MoH briefings for fact-checking, and only 8% relied on healthcare workers. This was particularly the case for those who lived in refugee camps. This study provides an insight into the information sources used by Palestinian university students, the sources they trust, and the information formats they prefer. These results may help public health authorities to locate the information sources through which university students should be targeted. Efforts should be made to recommend healthcare workers as credible information sources. In this way, they will be able to prevent the spread of misleading information and provide high-quality information, especially within unconventional settings such as refugee camps.

• Klíčová slova
• COVID-19, Palestine, information checking, information sources, knowledge,
• MeSH
• COVID-19 * MeSH
• dezinformace MeSH
• lidé MeSH
• průřezové studie MeSH
• průzkumy a dotazníky MeSH
• SARS-CoV-2 MeSH
• studenti MeSH
• univerzity * MeSH
• zdraví - znalosti, postoje, praxe MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

BACKGROUND: young adults represent a critical target for mass-vaccination strategies of COVID-19 that aim to achieve herd immunity. Healthcare students, including dental students, are perceived as the upper echelon of health literacy; therefore, their health-related beliefs, attitudes and behaviors influence their peers and communities. The main aim of this study was to synthesize a data-driven model for the predictors of COVID-19 vaccine willingness among dental students. METHODS: a secondary analysis of data extracted from a recently conducted multi-center and multi-national cross-sectional study of dental students' attitudes towards COVID-19 vaccination in 22 countries was carried out utilizing decision tree and regression analyses. Based on previous literature, a proposed conceptual model was developed and tested through a machine learning approach to elicit factors related to dental students' willingness to get the COVID-19 vaccine. RESULTS: machine learning analysis suggested five important predictors of COVID-19 vaccination willingness among dental students globally, i.e., the economic level of the country where the student lives and studies, the individual's trust of the pharmaceutical industry, the individual's misconception of natural immunity, the individual's belief of vaccines risk-benefit-ratio, and the individual's attitudes toward novel vaccines. CONCLUSIONS: according to the socio-ecological theory, the country's economic level was the only contextual predictor, while the rest were individual predictors. Future research is recommended to be designed in a longitudinal fashion to facilitate evaluating the proposed model. The interventions of controlling vaccine hesitancy among the youth population may benefit from improving their views of the risk-benefit ratio of COVID-19 vaccines. Moreover, healthcare students, including dental students, will likely benefit from increasing their awareness of immunization and infectious diseases through curricular amendments.

• Klíčová slova
• COVID-19 vaccines, decision making, decision trees, dental education, international association of dental students, machine learning, mass vaccination, regression analysis,
• Publikační typ
• časopisecké články MeSH